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Summary: Social Network  Data Mining Privacy

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Summary: Social Network  Data Mining Privacy. Community Team CBC News Posted: Nov 27, 2011 4:55 PM ET Presented by: Group 16. Facebook Data Mining. Commercial Use Location State, city, zip code Demographics Age range Sex Sexual Orientation Relationship status Languages Interests - PowerPoint PPT Presentation
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Summary: Summary: Social Network Social Network Data Mining Privacy Data Mining Privacy Community Team CBC News Posted: Nov 27, 2011 4:55 PM ET Presented by: Group 16
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Page 1: Summary: Social Network  Data Mining Privacy

Summary:Summary:Social Network Social Network Data Mining PrivacyData Mining Privacy

Community Team CBC NewsPosted: Nov 27, 2011 4:55 PM ET Presented by: Group 16

Page 2: Summary: Social Network  Data Mining Privacy

Facebook Data MiningFacebook Data Mining Commercial Use◦ Location

State, city, zip code◦ Demographics

Age range Sex Sexual Orientation Relationship status Languages

◦ Interests◦ Education & Work

Operational◦ Messages & Chats◦ Wall posts◦ Likes & dislikes◦ Other Demographics

Religious beliefs Political Views

Laser Focused Ad Campaigns

[1] & [2]

Page 3: Summary: Social Network  Data Mining Privacy

European Commission European Commission Cracking DownCracking DownEC plans to stop the way websites eavesdrop

◦ Currently, firms harvest information from people's activities on social  networks and make it available to advertisers

This January EC hopes to ban such targeted advertising

Users must know what data is collected and further processed and for what purposes

[1]

Page 4: Summary: Social Network  Data Mining Privacy

[3]

Page 5: Summary: Social Network  Data Mining Privacy

SummarySummaryThe social site gathers far more information and uses

them to laser-focus the advertisements that appear on each person's page by other companies. 

“Mining and analyzing these big new data sets can open the door to marketing and for this reason this information could be used for other purposes, accelerating productivity and economic growth.”

Applying data mining to those data sets will help to discover new businesses and predict consumer behavior and market shifts.” e.g. Google, Foursquare, etc. but at the same time it is important to understand the limits of privacy

Page 6: Summary: Social Network  Data Mining Privacy

Why Interesting?Why Interesting?As data miners, our tasks are colliding with these

concerns. It is important to know the privacy of the data that we are collecting for the specific analysis.

To know how the data will be used to the ultimate advantage of the people whose personal information is captured in the database.

Be sensitive to these worries when collecting or using data, or else we risk burdensome and counter-productive regulation. Some organizations have created the role of chief privacy officer to oversee the protection and use of data.

 

Page 7: Summary: Social Network  Data Mining Privacy

Relationship With CourseRelationship With CourseRelevant to chapters of Data

Mining and Data Warehousing.New application or societal impact

of database techniques we learn.The use of data mining for

marketing purposes.

Page 8: Summary: Social Network  Data Mining Privacy

ReferencesReferences1. Lewis, Jason. "Facebook Faces a Crackdown on Selling Users' Secrets to

Advertisers." The Telegraph. 26 Nov. 2011. Web. 28 Nov. 2011. http://www.telegraph.co.uk/technology/facebook/8917836/Facebook-faces-a-crackdown-on-selling-users-secrets-to-advertisers.html

2. Facebook https://www.facebook.com/ads/create/3. http://donottrackplus.com/4. “European Commission Cracks down on Facebook Data Mining.” CBC

News. 27 Oct. 2011. Web. 28 Nov. 2011. http://www.cbc.ca/news/technology/story/2011/11/27/technology-facebook-european-commission.html

5. Angwin, Julia. "Facebook Retreats on Privacy." The Wall Street Journal. 26 Nov. 2011. Web. 28 Nov. 2011. http://online.wsj.com/article/SB10001424052970204224604577030383745515166.html

6. Edelstein, Herb. "Data Mining and Privacy." Information Management. Dec. 2003. Web. 28 Nov. 2011. http://www.information-management.com/issues/20031201/7768-1.html


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